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Medical Company Increases Signal Integrity in Ultra-High Definition Endoscopy Systems

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Medical Company Increases Signal Integrity in Ultra-High Definition Endoscopy Systems

The medical landscape has dramatically transformed, with endoscopy emerging as a pivotal diagnostic tool that has revolutionized patient care. Endoscopy employs a flexible or rigid scope with a light source and camera. This diagnostic tool provides access to multiple internal organ systems, equipping healthcare providers with insight into internal anatomic structures of a person’s body for diagnostic evaluation and minimally invasive procedures such as laparoscopic surgery. This versatile procedure has expanded its reach across various organ systems, empowering healthcare providers with a comprehensive view of internal anatomic structures.A leading medical technology company specializing in endoscopy continuously produces an endoscope that delivers high-quality images for early diagnosis and minimally invasive surgery. With the advent of 4K and the impending shift to 8K imaging, the demand for high-definition video images is paramount for accurate medical procedures. The company’s R&D team had to ensure that the data transfer rate for these images exceeded 10 Gbps, a major technical hurdle. Keysight’s engineering experts recommended the high-speed digital design solutions, which comprise the Keysight Infiniium Z-Series oscilloscopes, Keysight bit error ratio testers (BERTs), Keysight vector network analyzers with time domain reflectometry (VNA-TDR), and Keysight PathWave Advanced Design System (ADS) software.

Scaling AI Data Centers

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Scaling AI Data Centers

Scaling AI Data Centers explains why AI-scale computing pushes every part of the data center, and why removing one constraint often exposes the next. It presents a chip-to-cluster framework spanning pre-silicon design, wafers, chips and chiplets, boards, servers, racks, full data centers, and edge deployments. The document positions Keysight Technologies strategic advantage as breadth plus correlation: predict system behavior before hardware exists, map physical margins at the wafer and photonics layer, then validate interconnects and workloads under conditions that resemble production. Across the stack it highlights solution areas such as electronic design automation for chiplet interconnect and photonic design, automated silicon and silicon photonics wafer test, post-silicon validation for die-to-die standards like UCIe, and board-level signal, power integrity, and electromagnetic interference debugging. It then moves into server and rack validation with protocol analysis, 800G and 1.6T Ethernet transceiver workflows, high-scale traffic generation for training and inference patterns, and Ethernet transport validation for RoCEv2 and Ultra Ethernet. At data center and edge scale it adds emulation, security and performance testing, coherent optical transport analysis, network visibility, and wireless and AI-RAN validation. It concludes that multi-layer challenges demand multi-level expertise, pairing physics-based insight with system context to help teams stay confidently generations ahead.

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